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Incentive-based integrated demand response considering S&C effect in demand side with incomplete information
S Zheng, Y Sun, B Qi, B Li - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
Incentive-based integrated demand response (IDR) has been recognized as a powerful tool
to mitigate supply-demand imbalance in integrated energy systems with high penetration of …
to mitigate supply-demand imbalance in integrated energy systems with high penetration of …
Distribution electricity pricing under uncertainty
Distribution locational marginal prices (DLMPs) facilitate the efficient operation of low-
voltage electric power distribution systems. We propose an approach to internalize the …
voltage electric power distribution systems. We propose an approach to internalize the …
An online learning framework for targeting demand response customers
We study the optimal design of demand response and peak-time rebate programs in the
electricity sector. Load-serving entities (LSEs) frequently use demand response or peak-time …
electricity sector. Load-serving entities (LSEs) frequently use demand response or peak-time …
Data valuation from data-driven optimization
With the ongoing investment in data collection and communication technology in power
systems, data-driven optimization has been established as a powerful tool for system …
systems, data-driven optimization has been established as a powerful tool for system …
Formation of islanded droop-based microgrids with optimum loadability
This paper proposes a new model for the optimal partitioning of active distribution networks
into a number of islanded microgrids. The objective of the developed model is to maximize …
into a number of islanded microgrids. The objective of the developed model is to maximize …
A hierarchical approach to multienergy demand response: From electricity to multienergy applications
Due to proliferation of energy efficiency measures and availability of the renewable energy
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …
Causative cyberattacks on online learning-based automated demand response systems
Power utilities are adopting Automated Demand Response (ADR) to replace the costly fuel-
fired generators and to preempt congestion during peak electricity demand. Similarly, third …
fired generators and to preempt congestion during peak electricity demand. Similarly, third …
Constrained thompson sampling for real-time electricity pricing with grid reliability constraints
We consider the problem of an electricity aggregator attempting to learn customers'
electricity usage models while implementing a load sha** program by means of …
electricity usage models while implementing a load sha** program by means of …
Learning with adaptive conservativeness for distributionally robust optimization: Incentive design for voltage regulation
Information asymmetry between the Distribution System Operator (DSO) and Distributed
Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage …
Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage …
Learning the price response of active distribution networks for TSO-DSO coordination
The increase in distributed energy resources and flexible electricity consumers has turned
TSO-DSO coordination strategies into a challenging problem. Existing decomposition …
TSO-DSO coordination strategies into a challenging problem. Existing decomposition …